Analysis of Benford's law in digital image forensics

Digital Image Forensics aims at uncovering and analyzing the underlying facts about the image. Its main objectives compromises: tampering detection (cloning, healing, retouching, splicing), hidden data detection and recovery, source identification with no prior measurement or registration of the image. In this paper, application of Benford' law in Digital Image Forensics has been analyzed. JPEG and JPEG2000 approximately follow this law and JPEG2000 found closer to the given law. The non-following of this law in different forensics setups can be used as fingerprint. Further, amount of deviation from Benford' law in compressed images can be used to find forgery. Simulations results are given to establish the theory.